AI for Software Development Training in Aguascalientes

GitHub Copilot is an AI-driven code completion tool designed to boost development speed while enhancing quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software, managers can utilize AI to optimize resource allocation, streamline workflows, and improve decision-making.

This instructor-led live training, available online or onsite, targets advanced-level managers seeking to deepen their understanding of GitHub Copilot while exploring practical AI applications in corporate settings, featuring examples relevant to large-scale projects and industries such as oil and gas.

Upon completing this training, participants will be able to:

• Apply advanced Copilot functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows for maximum efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to improve planning, estimation, and time optimization.
• Recognize practical AI applications in industry-specific scenarios such as oil and gas.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and case studies.
• Live-lab demonstrations of AI tools and Copilot workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence (AI) encompasses a suite of technologies designed to replicate human intelligence within machines and applications, facilitating the creation of more intelligent and adaptive software.

This instructor-led live training, available both online and onsite, is designed for intermediate-level developers looking to construct AI-driven applications utilizing practical tools and platforms.

Upon completion of this training, participants will be equipped to:

• Grasp fundamental AI and machine learning concepts.
• Develop AI capabilities using Python and widely adopted libraries.
• Implement AI techniques in actual software development projects.
• Assess models and deploy intelligent services.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

GitHub Copilot is an AI-driven coding assistant designed to automate development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level professionals who want to use GitHub Copilot to streamline DevOps tasks, improve automation, and boost productivity.

By the end of this training, participants will be able to:

• Use GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
• Leverage AI code completion in YAML files and GitHub Actions.
• Accelerate testing, deployment, and automation workflows.
• Apply Copilot responsibly with an understanding of AI limitations and best practices.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Huawei Ascend is a family of AI processors designed for high-performance inference and training.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI engineers and data scientists who wish to develop and optimize neural network models using Huawei’s Ascend platform and the CANN toolkit.

By the end of this training, participants will be able to:

• Set up and configure the CANN development environment.
• Develop AI applications using MindSpore and CloudMatrix workflows.
• Optimize performance on Ascend NPUs using custom operators and tiling.
• Deploy models to edge or cloud environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Huawei Ascend and CANN toolkit in sample applications.
• Guided exercises focused on model building, training, and deployment.

Course Customization Options

• To request a customized training for this course based on your infrastructure or datasets, please contact us to arrange.

This instructor-led, live training in Aguascalientes (online or onsite) is designed for intermediate-level software professionals looking to leverage AI and machine learning to boost efficiency and foster innovation in software development.

Upon completing this training, participants will be able to:

• Grasp the role of AI and machine learning in automating software development tasks.
• Deploy AI tools to generate code, tests, and documentation.
• Utilize AI techniques for code optimization, quality assurance, and debugging.
• Integrate AI into DevOps and CI/CD pipelines to enhance deployment strategies.
• Navigate ethical considerations and challenges associated with AI-augmented software engineering.

This instructor-led, live training in Aguascalientes (online or onsite) targets intermediate to advanced participants who want to optimize team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.

By the end of this training, participants will be able to:

• Set up GitHub Copilot for team environments.
• Utilize Copilot to enhance collaborative coding practices.
• Optimize team workflows using Copilot’s features.
• Manage Copilot’s integration in multi-developer projects.
• Maintain consistent code quality and standards across teams.
• Leverage advanced Copilot features for team-specific needs.
• Combine Copilot with other collaborative tools for efficiency.

This instructor-led, live training conducted in Aguascalientes (online or onsite) targets intermediate QA engineers, developers, and team leads who want to use GitHub Copilot to achieve more efficient debugging, higher code quality, and streamlined code reviews.

By the conclusion of this training, participants will be able to:

• Configure GitHub Copilot for debugging and code review.
• Identify and fix bugs efficiently with Copilot.
• Elevate code quality using AI-assisted recommendations.
• Optimize code review workflows with Copilot's capabilities.
• Collaborate effectively in team settings using Copilot.

Course Customization Options

Format of the Course

Upon completing this training, participants will be equipped with the following capabilities:

Prompt Engineering for Software Development is a practical course designed to instruct developers on crafting effective prompts to enhance the utility, accuracy, and safety of AI-generated outputs in software engineering tasks.

This instructor-led live training (available online or onsite) targets intermediate-level developers looking to incorporate prompt engineering techniques into their use of AI coding assistants, code analyzers, and intelligent automation tools.

• Design precise prompts for code generation, review, and optimization tasks.
• Utilize prompt chaining and refinement to enhance AI responses within iterative workflows.
• Produce structured outputs, including test cases, SQL queries, and documentation, from minimal input.
• Reduce hallucinations and improve control over LLM behavior in technical settings.

• Interactive lectures and discussions.
• Abundant exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

• For those interested in a customized training version of this course, please contact us to arrange it.

This instructor-led, live training in Aguascalientes (online or onsite) is aimed at intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.

By the end of this training, participants will be able to:

• Set up GitHub Copilot for front-end development projects.
• Leverage Copilot to generate HTML, CSS, and JavaScript code efficiently.
• Improve UI/UX design processes using AI-generated code suggestions.
• Enhance front-end workflows with practical Copilot integration strategies.
• Troubleshoot and debug front-end code using Copilot assistance.

Responsible AI in Software Development serves as a foundational course that explores the ethical, legal, and governance implications of integrating AI tools into the software development lifecycle. The curriculum places significant emphasis on transparency, fairness, intellectual property rights, and the secure deployment of code generated by artificial intelligence.

This instructor-led, live training is available both online and onsite. It is designed for technical and non-technical professionals at the beginner level who aim to incorporate ethical, compliant, and risk-aware practices when using AI in their software projects.

Upon completing this training, participants will be equipped to:

• Identify and mitigate ethical and legal risks linked to AI-assisted development.
• Recognize bias within AI-generated code and learn methods to evaluate fairness.
• Effectively manage software licenses and attribution for content produced by AI.
• Establish robust governance, policy, and compliance frameworks for AI adoption within development teams.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live laboratory environment.

Customization Options for the Course

• For those interested in a tailored training experience, please reach out to us to discuss your specific needs.

This hands-on course explores how to use generative AI to convert stakeholder input into structured requirements, epics, user stories, and acceptance criteria tailored for Agile development processes.

Designed as an instructor-led live training (available online or onsite), it targets beginner-level product and project professionals seeking to enhance clarity, speed, and traceability in requirement gathering and refinement using tools such as ChatGPT or Claude.

Upon completion, participants will be able to:

• Utilize AI prompts to collect and refine business requirements.
• Transform feature requests into well-organized user stories and epics.
• Generate acceptance criteria, edge cases, and definitions of done with AI support.
• Collaborate effectively with development teams using AI-structured documentation.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• For customized training, please reach out to us to arrange your specific needs.

Cursor is an AI-driven development environment designed to boost productivity and reliability in data and machine learning workflows by offering intelligent code generation, context-aware suggestions, and streamlined documentation.

This instructor-led live training (available online or onsite) targets intermediate-level data and ML professionals who want to integrate Cursor into their daily workflows for faster prototyping, scalable pipeline development, and improved model operations.

Upon completing this training, participants will be able to:

• Utilize Cursor to accelerate notebook development and code exploration.
• Generate, refactor, and document ETL and feature engineering pipelines.
• Leverage AI-assisted code for model training, tuning, and evaluation.
• Enhance reproducibility, collaboration, and operational consistency in ML workflows.

Course Format

• Interactive lectures and demonstrations.
• Practical, hands-on exercises in live coding environments.
• Case studies integrating Cursor with ML pipelines and model ops tools.

Course Customization Options

• This training can be tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organizational MLOps platforms.

This instructor-led, live training in Aguascalientes (online or onsite) targets beginner to intermediate Python developers looking to harness GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.

Upon completing this training, participants will be able to:

• Set up and configure GitHub Copilot for Python development.
• Leverage Copilot to write efficient Python code.
• Debug Python applications using AI-generated suggestions.
• Automate repetitive coding tasks and improve workflow efficiency.
• Utilize Copilot for implementing machine learning projects in Python.

Graphite is a platform designed to enhance developer productivity and streamline code reviews by optimizing pull request workflows, fostering better team collaboration, and integrating seamlessly with tools like GitHub and AI-powered code review assistants.

This instructor-led live training, available online or onsite, is designed for intermediate-level software engineering teams looking to streamline their development processes, boost review efficiency, and effectively implement Graphite within enterprise DevOps pipelines.

Upon completion of this training, participants will be able to:

• Deploy and configure Graphite for enterprise-scale development environments.
• Automate pull request management and enhance code review throughput.
• Integrate Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Measure developer productivity using Graphite analytics and dashboards.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Cursor is a sophisticated AI-driven development environment that empowers engineers to extend, fine-tune, and customize its coding intelligence for specialized use cases and enterprise workflows.

This instructor-led, live training (available online or onsite) is designed for advanced-level developers and AI engineers who aim to create tailored prompt systems, adjust model behavior, and develop custom extensions for internal development automation.

Upon completing this training, participants will be able to:

• Design and test advanced prompt templates to achieve precise AI behavior.
• Connect Cursor to internal APIs and knowledge bases for context-aware code generation.
• Develop fine-tuned or domain-adapted AI models for specialized tasks.
• Build and deploy custom tools or adapters to securely extend Cursor’s functionality.

Course Format

• Technical presentations and guided demonstrations.
• Hands-on development and prompt optimization labs.
• Practical projects integrating Cursor with real-world enterprise systems.

Course Customization Options

• This course can be tailored to align with specific internal architectures, AI frameworks, or security compliance requirements.

This live, instructor-led training in Aguascalientes (online or on-site) is aimed at advanced-level participants who wish to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.

By the end of this training, participants will be able to:

• Customize GitHub Copilot for specific project needs and team workflows.
• Leverage advanced features of Copilot for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration using AI-powered tools.
• Manage and troubleshoot Copilot settings and permissions effectively.

Generative AI for Front-End Development explores how large language models and AI-powered tools can accelerate front-end development through prompt-based code generation, layout prototyping, and UI optimization.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level front-end professionals who wish to use generative AI to build and iterate user interfaces more quickly and creatively.

By the end of this training, participants will be able to:

• Use AI tools to generate HTML, CSS, and JavaScript from natural language prompts.
• Create and refine UI components and layouts using generative models.
• Prototype responsive web designs rapidly without writing all code from scratch.
• Optimize front-end code using AI suggestions and automation workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training session in Aguascalientes (online or on-site) is designed for developers from novice to expert levels who wish to leverage AI for code generation with Tabnine.

By the end of this training, participants will be able to:

• Understand the basics of AI-powered code generation.
• Install and configure Tabnine in their development environment.
• Utilize Tabnine for efficient code completion and error correction.
• Create and train custom AI models with Tabnine for specialized tasks.

Vibe coding represents a new paradigm where developers partner with large language models to generate, refine, and optimize code through natural language interactions.

This instructor-led training, available both online and onsite, is designed for intermediate developers and technical leads who want to master AI coding assistants and open-source LLMs to boost productivity, creativity, and workflow automation.

By the end of this course, participants will be able to:

• Grasp the principles and philosophy of vibe coding and its impact on software development.
• Set up LLM-assisted coding environments using tools like Replit, DeepSeek, LlaMA, Qwen, Mistral, and GitHub Copilot.
• Design and execute prompt engineering strategies for effective AI collaboration.
• Integrate vibe coding workflows into enterprise CI/CD pipelines and governance frameworks.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange it.

AI-Augmented Test Generation and Quality Engineering investigates how artificial intelligence tools and large language models (LLMs) can enhance test coverage, accelerate test creation, and improve quality assurance processes.

This instructor-led, live training (available online or onsite) targets intermediate-level QA professionals who want to automate and elevate their testing strategies using AI-driven tools and practices.

Upon completion of this training, participants will be able to:

• Generate unit, integration, and UI tests using AI tools and prompts.
• Utilize LLMs for exploratory testing, edge-case discovery, and regression analysis.
• Cluster and prioritize test failures and anomalies using AI-assisted triage.
• Integrate AI-based testing into CI/CD pipelines to boost release confidence.

Format of the Course

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Cursor is an AI-enhanced development environment designed to boost team collaboration, automate code reviews, and integrate smoothly into contemporary CI/CD workflows.

This instructor-led live training, available online or onsite, targets intermediate-level technical professionals who want to incorporate Cursor into their team setups to enhance collaboration, streamline reviews, and uphold quality throughout automated pipelines.

After finishing this training, participants will be capable of:

• Setting up and managing team environments in Cursor for collaborative development.
• Using AI tools to automate code reviews, generate pull requests, and validate merges.
• Implementing code governance, review policies, and security guardrails using Cursor’s capabilities.
• Integrating Cursor with CI/CD systems to guarantee continuous delivery and consistent quality standards.

Format of the Course

• Instructor-led presentations and team-based discussions.
• Hands-on labs using real-world team collaboration scenarios.
• Live integration exercises with CI/CD and version control tools.

Course Customization Options

• The course can be adapted to specific CI/CD platforms, repository tools, or enterprise security requirements.

This instructor-led, live training in Aguascalientes (online or in-person) is designed for beginner to intermediate programmers and developers who wish to leverage DeepSeek Coder to improve coding efficiency and productivity.

By the end of this training, participants will be able to:

• Understand the capabilities and limitations of DeepSeek Coder.
• Generate high-quality code snippets using AI assistance.
• Utilize DeepSeek Coder for debugging and optimizing code.
• Automate repetitive programming tasks using AI tools.

This instructor-led, live training in Aguascalientes (online or onsite) is designed for intermediate-level participants who wish to leverage GitHub Copilot to handle advanced coding scenarios, improve productivity, and integrate Copilot into their development workflows.

Upon completion of this training, participants will be able to:

• Optimize their use of GitHub Copilot for advanced coding tasks.
• Write code that is more efficient, less error-prone, and easier to maintain using Copilot’s suggestions.
• Integrate GitHub Copilot into their preferred IDEs and development workflows.
• Utilize Copilot for debugging and refactoring code.
• Understand the limitations and ethical implications of using AI-powered coding tools.

This instructor-led, live training in Aguascalientes (online or onsite) is designed for experienced developers and team leads who wish to master the advanced features of Tabnine.

By the end of this training, participants will be able to:

• Implement Tabnine in complex software projects.
• Customize and train Tabnine's AI models for specific use cases.
• Integrate Tabnine into team workflows and development pipelines.
• Enhance code quality and accelerate development cycles using Tabnine's insights.

This instructor-led, live training in Aguascalientes (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.

By the end of this training, participants will be able to:

• Understand the role and capabilities of AI coding assistants in software development.
• Utilize various AI coding assistant tools to automate routine coding tasks.
• Integrate AI coding assistants into their software development lifecycle.
• Enhance their productivity and focus on more complex and creative programming tasks.
• Address ethical considerations and responsible use of AI in software development.

Devstral is an open-source framework engineered to build and operate coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led live training, available online or onsite, targets intermediate to advanced ML engineers, developer-tooling teams, and SREs eager to design, implement, and optimize coding agents using Devstral.

Upon completing this training, participants will be able to:

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation in a live lab environment.

Customization Options

• To request a customized version of this course, please reach out to us to arrange details.

Cursor is an intelligent, AI-driven code editor built to elevate developer productivity through smart code completions, contextual edits, and adaptive support.

This instructor-led live training (available online or onsite) is designed for beginner-level developers and engineering teams looking to streamline their coding workflow and safely utilize AI suggestions to enhance efficiency.

After completing this training, participants will be able to:

• Install and set up Cursor for maximum effectiveness in development projects.
• Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools.
• Effectively and securely evaluate, accept, or modify AI-generated code suggestions.
• Adopt best practices for team onboarding, collaboration, and version control integration.

Course Format

• Interactive lectures and discussions.
• Hands-on demonstrations and guided exercises.
• Real-world coding challenges and lab practice using Cursor.

Customization Options

• This course can be customized to align with the specific programming languages or frameworks used by your team.

This instructor-led, live training in Aguascalientes (online or in-person) targets beginner-level developers interested in mastering GitHub Copilot’s capabilities, setting it up, and applying it effectively to elevate their coding experience.

By the conclusion of this training, participants will be able to:

• Understand the concept and functionality of GitHub Copilot.
• Install and configure GitHub Copilot on a supported code editor.
• Utilize GitHub Copilot to accelerate the writing, refactoring, and debugging of code.
• Use Copilot to explore various coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into everyday workflows.

The course 'LLMs for Code Comprehension, Refactoring, and Documentation' is a technical program designed to apply large language models (LLMs) to enhance code quality, minimize technical debt, and automate documentation tasks for software teams.

This instructor-led, live training session (available online or onsite) targets intermediate to advanced software professionals aiming to leverage LLMs, such as GPT, to analyze, refactor, and document complex or legacy codebases more efficiently.

By the conclusion of this training, participants will be capable of:

• Utilizing LLMs to clarify code, dependencies, and logic within unfamiliar repositories.
• Spotting and refactoring anti-patterns while enhancing code readability.
• Automating the creation and upkeep of inline comments, README files, and API documentation.
• Incorporating LLM-driven insights into established CI/CD and code review workflows.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab setting.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange.

This instructor-led, live training in Aguascalientes (online or onsite) is designed for intermediate-level Python developers and data scientists seeking to boost their productivity with Tabnine.

Upon completion of this training, participants will be able to:

• Install and configure Tabnine in their Python development environment.
• Use Tabnine's autocomplete features to write Python code more efficiently.
• Customize Tabnine's behavior to fit their coding style and project needs.
• Understand how Tabnine's AI model works specifically with Python code.

This instructor-led, live training in Aguascalientes (online or onsite) is aimed at beginner-level participants who wish to understand AI coding assistants, their capabilities, how they can enhance the development process, and the ethical considerations surrounding their use.

By the end of this training, participants will be able to:

• Understand the purpose and capabilities of AI coding assistants.
• Identify different AI coding assistant tools and their features.
• Utilize AI coding assistants for basic coding tasks.
• Address basic ethical considerations and responsible use of AI in development.

The AI-Driven Software Development Lifecycle (SDLC) course provides practical insights into leveraging artificial intelligence to enhance every stage of the software development process. Participants will discover how to integrate AI tools and methodologies throughout the entire lifecycle, ranging from automating requirement analysis to generating intelligent tests and optimizing deployments.

This instructor-led, live training is available both online and onsite. It is designed for intermediate-level software leaders who want to modernize their SDLC by adopting AI-assisted workflows and tools.

Upon completing this training, participants will be able to:

• Utilize AI to transform business inputs into structured requirements and user stories.
• Employ Large Language Models (LLMs) to enhance code documentation, reviews, and refactoring efforts.
• Automate the generation of test cases and analyze coverage using AI-powered tools.
• Implement AI-driven monitoring and decision-making for deployments within CI/CD pipelines.

Course Format

• Interactive lectures and group discussions.
• Numerous exercises and practical activities.
• Hands-on implementation in a live laboratory environment.

Customization Options for the Course

• To request customized training for this course, please get in touch with us to make arrangements.

This instructor-led, live training (available online or onsite) targets intermediate-level software developers looking to enhance productivity and code quality through AI-assisted coding with Cursor.

Upon completion of this training, participants will be able to:

• Install and configure Cursor for AI-assisted software development.
• Integrate Cursor with Git repositories and development workflows.
• Use natural language to generate, debug, and optimize code.
• Leverage AI capabilities for refactoring, documentation, and testing.

This instructor-led live training in Aguascalientes (online or onsite) is designed for beginner to intermediate-level developers who wish to learn how to effectively utilize GitHub Copilot within modern development workflows.

This instructor-led, live training in Aguascalientes (online or onsite) is aimed at beginner-level developers who wish to increase their coding efficiency with the help of Tabnine.

By the end of this training, participants will be able to:

• Install and set up Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to speed up coding.
• Customize Tabnine's settings for optimal assistance.
• Understand how Tabnine's AI learns from their code to provide better suggestions.

This immersive, one-day workshop that empowers software teams to integrate cutting-edge AI tools throughout the Software Development Lifecycle (SDLC). Structured as an interactive game with progressive “levels,” this experience blends technical skill-building, creativity, and collaboration.

Participants will tackle real-world challenges across all stages of the SDLC — from requirement gathering and design to coding, testing, deployment, and monitoring — using AI-powered tools like ChatGPT, GitHub Copilot, and ML-based log analysis systems.

Designed for modern development environments, this workshop fosters AI fluency, team synergy, and a deep understanding of how to augment software delivery pipelines with generative AI and machine learning capabilities.

This instructor-led, live training in Aguascalientes (online or in-person) targets beginner-level professionals who wish to use Replit AI to build, test, and deploy simple applications more quickly.

By the end of this training, participants will be able to: create an app from a prompt, improve code with AI assistance, manage configuration securely, and deploy a working application.

This instructor-led, live training in Aguascalientes (online or onsite) is tailored for beginner, intermediate, and advanced-level product teams, developers, and technical business users who aim to use Lovable to build production-ready apps faster, with better structure, quality, and deployment practices.

By the end of this training, participants will be able to: plan and generate functional apps, improve user flows and data handling, add essential production features, and prepare apps for deployment and team use.

The goal of this live, instructor-led training is to equip professionals without coding or technical expertise with the confidence to utilize Claude Code—an AI-driven coding and automation tool from Anthropic—to develop real-world projects, automate processes, and integrate everyday applications using simple language.

Attendees will engage with the Claude application (claude.ai and Claude Desktop) to perform hands-on activities, progressing from their initial interaction to linking Claude with external services via MCP (Model Context Protocol) connectors. This 7-hour course includes a dedicated Live Build Session where the group collaboratively creates workflows based on real challenges provided by participants. This dynamic segment enhances learning by teaching prompt evaluation skills in a way that individual practice cannot. Upon completion, every participant will have developed a functional project and linked Claude to at least one external service.

Course Structure

• Interactive lectures and live demonstrations
• Guided hands-on exercises following each concept (participants follow along in real-time)
• Collaborative Live Build Session addressing real participant-submitted workflow challenges
• Cumulative capstone project with a presentation component

This instructor-led, live training aims to equip professionals without coding or technical expertise to confidently utilize Claude Code — Anthropic’s AI-driven coding and automation tool — to construct real-world projects, automate workflows, and integrate daily tools using plain English.

Participants will engage with the Claude app (claude.ai and Claude Desktop) to perform hands-on tasks, progressing from their initial interaction to linking Claude with external services via MCP (Model Context Protocol) connectors. By the conclusion of the course, each participant will have developed a functional project and connected Claude to at least one external service.

Course Format

• Interactive lectures paired with live demonstrations
• Guided hands-on exercises following each concept (participants follow along in real-time)
• A cumulative capstone project developed throughout the session

This instructor-led, live training in Aguascalientes (online or onsite) is designed for intermediate-level software engineers and technical leads who wish to leverage Claude Code to accelerate development workflows and improve team productivity with AI-assisted coding.

By the end of this training, participants will be able to install and configure Claude Code, navigate, generate, and improve code using AI, integrate AI workflows with Git, and design scalable AI-assisted processes.

This instructor-led, live training in Aguascalientes (online or onsite) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.

GitHub Copilot

This instructor-led, live training in Aguascalientes (online or onsite) targets beginner-level, intermediate-level, or advanced-level professionals who wish to leverage Bolt.new to rapidly create and enhance web application prototypes.

By the end of this training, participants will be able to generate prototypes from prompts, refine features and interface flow, test and troubleshoot app behavior, and publish prototypes for review.

This instructor-led, live training in Aguascalientes (online or onsite) is aimed at developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.

By the end of this training, participants will be able to use Cascade for navigation, execute terminal commands inside the editor, leverage predictive edits, and customize Windsurf for proprietary stacks.

By the end of this training, participants will be able to:

• Master enterprise prompt architecture across 6 layers (Role, Context, Constraints, Domain Standards, Format, Examples).
• Encode business, security, and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library validated, shared, and governed by all teams.
• Define sustainable governance: Prompt Curator role, naming conventions, versioning, quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong entirely to the client organization.

Course customization options

• To request a customized version of this training, please contact us to make the necessary arrangements.